Natural Product: NPC66056

Natural Product IDNPC66056
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
HMQLHCKDYUUVRG-DOYYFJRQSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID n.a.
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000258] Steroids and steroid derivatives
        • [CHEMONTID:0001013] Steroidal glycosides
          • [CHEMONTID:0002364] Steroidal saponins

The Chemical Classification was calculated by Classyfire, a software for chemical taxonomy calculation. Reference: DOI:10.1186/s13321-016-0174-y.

  Chemical Representations

Standard InCHIKey HMQLHCKDYUUVRG-DOYYFJRQSA-N
Standard InCHI InChI=1S/C51H84O23/c1-20-7-12-51(65-19-20)21(2)32-27(74-51)14-26-24-6-5-22-13-23(8-10-49(22,3)25(24)9-11-50(26,32)4)66-45-41(64)38(61)42(31(18-55)70-45)71-48-44(73-47-40(63)37(60)34(57)29(16-53)68-47)43(35(58)30(17-54)69-48)72-46-39(62)36(59)33(56)28(15-52)67-46/h20-48,52-64H,5-19H2,1-4H3/t20-,21-,22+,23-,24-,25+,26+,27-,28+,29+,30+,31+,32-,33+,34+,35+,36-,37-,38+,39+,40+,41+,42+,43-,44+,45+,46-,47-,48-,49-,50-,51-/m1/s1
SMILES C[C@@H]1CC[C@@]2([C@H](C)[C@@H]3[C@@H](C[C@H]4[C@@H]5CC[C@H]6C[C@@H](CC[C@@]6(C)[C@H]5CC[C@@]34C)O[C@@H]3[C@H]([C@@H]([C@H]([C@H](CO)O3)O[C@@H]3[C@H]([C@@H]([C@H]([C@H](CO)O3)O)O[C@@H]3[C@H]([C@@H]([C@H]([C@H](CO)O3)O)O)O)O[C@@H]3[C@H]([C@@H]([C@H]([C@H](CO)O3)O)O)O)O)O)O2)OC1

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   1064.54 Volume:   1007.262
?
Van der Waals volume.
Dense:   1.057 LogP:   0.072
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   0.927
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -2.902
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   12.0 Rigid Bonds:   54.0
TPSA:   355.29
?
Topological Polar Surface Area.
H-Bond Acceptor:   23.0
H-Bond Donor:   13.0 Rings:   10.0
Heavy Atoms:   23.0

MedChem Properties

QED Drug-Likeness Score:   0.087 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   7.179 Fsp3:   1.0
MCE-18:   261.333
?
MCE-18 stands for medicinal chemistry evolution.MCE-18≥45 is considered a suitable value.
Lipinski Rule-of-5:   Accepted
Pfizer Rule:   Rejected GSK Rule:   Accepted
Golden Triangle Rule:   Accepted BMS Rule:   1
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.912 Fluc inhibitor:   0.0
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.013
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.0
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.413 Promiscuous compounds:   0.019

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -7.522 MDCK Permeability:   -4.647
Pgp-inhibitor:   0.0 Pgp-substrate:   0.213
PAMPA:   1.0
?
The experimental data for Peff was logarithmically transformed (logPeff). Molecules with log Peff values below 2.0 were classified as low-permeability (Category 0), while those with log Peff values exceeding 2.5 were classified as high-permeability (Category 1).
Human Intestinal Absorption (HIA):   0.844
20% Bioavailability (F20%):   0.218 30% Bioavailability (F30%):   1.0
50% Bioavailability (F50%):   0.993

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.011 MRP1:   0.0
Plasma Protein Binding (PPB):   64.73% Volume Distribution (VD):   -0.346
Fu: 24.784%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.002
BSEP inhibitor:   0.0

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.0 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   0.025 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.166
HLM stability:   0.0
?
Human liver microsomal (HLM) stability. Category 0: stable+ (HLM > 30 min); Category 1: unstable- (HLM ≤ 30 min). The output value is the probability of human liver microsomal instability, where a value closer to 1 indicates a higher likelihood of instability.

ADMET: Excretion

Clearance (CL):  -0.55 Half-life (T1/2):  3.167

ADMET: Toxicity

hERG Blockers:  0.0 hERG Blockers (10um):  0.007
Human Hepatotoxicity (H-HT):  0.609 Drug-induced Liver Injury (DILI):  0.977
AMES Toxicity:  0.758 Rat Oral Acute Toxicity:  0.0
Maximum Recommended Daily Dose:  0.0 Skin Sensitization:  1.0
Carcinogencity:  0.039 Eye Corrosion:  0.0
Eye Irritation:  0.0 Respiratory Toxicity:  0.0
Drug-induced Neurotoxicity:  0.0 Ototoxicity:  1.0
Hematotoxicity:  0.124 Drug-induced Nephrotoxicity:  0.999
Genotoxicity:  0.0 RPMI-8226 Immunitoxicity:  0.367
A549 Cytotoxicity:  0.803 Hek293 Cytotoxicity:  0.359
BCF:   1.459
?
Bioconcentration factors are used for considering secondary poisoning potential and assessing risks to human health via the food chain. The unit is -log10[(mg/L)/(1000*MW)].
IGC50:   3.595
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.031
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.083
?
96 hour fathead minnow LC50. The unit of LC50FM is -log10[(mg/L)/(1000*MW)].

  Species Source

Organism ID Organism Name Taxonomy Level Family SuperKingdom Isolation Part Collection Location Collection Time Reference
NPO8321 Allium chinense Species Amaryllidaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO8321 Allium chinense Species Amaryllidaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO8321 Allium chinense Species Amaryllidaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO8321 Allium chinense Species Amaryllidaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO8321 Allium chinense Species Amaryllidaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO8321 Allium chinense Species Amaryllidaceae Eukaryota n.a. n.a. n.a. Database[UNPD]

Note for Reference:
In addition to directly collecting NP source organism data from primary literature (where reference will provided as NCBI PMID or DOI links), NPASS also integrated them from below databases:
UNPD: Universal Natural Products Database [PMID: 23638153].
StreptomeDB: a database of streptomycetes natural products [PMID: 33051671].
TM-MC: a database of medicinal materials and chemical compounds in Northeast Asian traditional medicine [PMID: 26156871].
TCM@Taiwan: a Traditional Chinese Medicine database [PMID: 21253603].
TCMID: a Traditional Chinese Medicine database [PMID: 29106634].
TCMSP: The traditional Chinese medicine systems pharmacology database and analysis platform [PMID: 24735618].
HerDing: a herb recommendation system to treat diseases using genes and chemicals [PMID: 26980517].
MetaboLights: a metabolomics database [PMID: 27010336].
FooDB: a database of constituents, chemistry and biology of food species [www.foodb.ca].



  NP Quantity Composition/Concentration

Organism ID Organism Name Organism Material Preparation Organism Part NP Quantity (Standard) NP Quantity (Minimum) NP Quantity (Maximum) Quantity Unit Reference

Note for Reference:
In addition to directly collecting NP quantitative data from primary literature (where reference will provided as NCBI PMID or DOI links), NPASS also integrated NP quantitative records for specific NP domains (e.g., NPS from foods or herbs) from domain-specific databases. These databases include:
DUKE: Dr. Duke's Phytochemical and Ethnobotanical Databases.
PHENOL EXPLORER: is the first comprehensive database on polyphenol content in foods [PMID: 24103452], its homepage can be accessed at here.
FooDB: a database of constituents, chemistry and biology of food species [www.foodb.ca].



 Biological Activity

Molecular-level activity

Target ID Target Type Target Name Target Organism Activity Type Activity Relation Value Unit Reference

In vitro activity

Target ID Target Type Target Name Target Organism Activity Type Activity Relation Value Unit Reference

In vivo activity

Target ID Target Type Target Name Target Organism Activity Type Activity Relation Value Unit Reference





 Experimental ADME

Experiment Model Experiment Tissue ADME Type ADME Relation ADME Value ADME Unit Reference





 Experimental Toxicity

Quantitative toxicity

Experiment Model Experiment Organism Toxicity Type Toxicity Relation Toxicity Value Toxicity Unit Reference

Common Abbreviations:
LC: Lethal Concentration; LD: Lethal Dose; LT:Lethal Time; NOAEL: No-observed-adverse-effect Level; BMDL: Benchmark Dose Lower Confidence Limit; BMD: Benchmark Dose; BMC:Benchmark Concentration; LOAEL: Lowest Observed Adverse Effect Level; RfD:Reference Dose; RfC:Reference Concentration; MRL: Minimal Risk Level; MEG: Maximum Exposure Guideline; PAC: Protective Action Criteria

Categorical toxicity labels

Hepatotoxicity Carcinogenicity Mutagenicity Cardiotoxicity Respiratory Toxicity Eye Irritation Endocrine Disruption
Hepatotoxicity Carcinogenicity Mutagenicity Cardiotoxicity Respiratory Toxicity Eye Irritation Endocrine Disruption

Note for Reference:
In addition to directly collecting NP quantitative data from primary literature (where reference will provided as NCBI PMID or DOI links), NPASS also integrated NP toxicity records from domain-specific databases. These databases include:
ToxValDB: a curated database that compiles quantitative toxicity values for chemicals from diverse public sources to support toxicological research and risk assessment.
TOXRIC: a comprehensive, free-to-access, online database providing toxicological/feature data. The toxicity labels are retrieved from this database. [PMID: 36400569]


  Chemically structural similarity

Similar Active Natural Products in NPASS

Top-200 similar NPs were calculated against the active-NP-set (includes approximately 50,000 NPs with experimentally-derived bioactivity available in NPASS)

Similarity is measured using the Tanimoto coefficient (Tc) , which compares the binary fingerprints of two molecules. Tc is calculated as the intersection divided by the union of '1' bits in the fingerprints, ranging from 0 to 1, with 1 indicating highest similarity.

●  The left chart: Distribution of similarity level between NPC66056 and all remaining natural products in the NPASS database.
●  The right table: Most similar natural products (Tc>=0.5 or Top200).

Similarity Score Similarity Level Natural Product ID
0.9231 High Similarity NPC97700
0.9231 High Similarity NPC184617
0.9231 High Similarity NPC30856
0.9059 High Similarity NPC206003
0.9059 High Similarity NPC473610
0.881 High Similarity NPC325828
0.8571 High Similarity NPC132080
0.837 Intermediate Similarity NPC475351
0.8351 Intermediate Similarity NPC116756
0.8333 Intermediate Similarity NPC107962
0.8265 Intermediate Similarity NPC232037
0.8182 Intermediate Similarity NPC470864
0.7849 Intermediate Similarity NPC125324
0.7843 Intermediate Similarity NPC233433
0.7788 Intermediate Similarity NPC470866
0.7778 Intermediate Similarity NPC115165
0.7692 Intermediate Similarity NPC250393
0.7573 Intermediate Similarity NPC83137
0.7527 Intermediate Similarity NPC107188
0.7474 Intermediate Similarity NPC6295
0.7473 Intermediate Similarity NPC234352
0.7363 Intermediate Similarity NPC297348
0.7363 Intermediate Similarity NPC249204
0.7363 Intermediate Similarity NPC48339
0.7363 Intermediate Similarity NPC141769
0.7363 Intermediate Similarity NPC477547
0.7339 Intermediate Similarity NPC220836
0.7333 Intermediate Similarity NPC477811
0.73 Intermediate Similarity NPC51172
0.73 Intermediate Similarity NPC49032
0.7282 Intermediate Similarity NPC475625
0.7238 Intermediate Similarity NPC476112
0.7238 Intermediate Similarity NPC307534
0.7172 Intermediate Similarity NPC473601
0.7158 Intermediate Similarity NPC19400
0.7115 Intermediate Similarity NPC473518
0.7087 Intermediate Similarity NPC475319
0.7064 Intermediate Similarity NPC94086
0.7064 Intermediate Similarity NPC473817
0.7048 Intermediate Similarity NPC232611
0.703 Intermediate Similarity NPC92890
0.7021 Intermediate Similarity NPC477451
0.697 Remote Similarity NPC160426
0.6961 Remote Similarity NPC300557
0.6916 Remote Similarity NPC470862
0.6827 Remote Similarity NPC98018
0.6827 Remote Similarity NPC284104
0.6827 Remote Similarity NPC103616
0.6804 Remote Similarity NPC211354
0.6789 Remote Similarity NPC31896
0.6765 Remote Similarity NPC602423
0.6698 Remote Similarity NPC470863
0.6637 Remote Similarity NPC477807
0.6571 Remote Similarity NPC128572
0.6538 Remote Similarity NPC477809
0.6436 Remote Similarity NPC470432
0.6436 Remote Similarity NPC230507
0.6421 Remote Similarity NPC485594
0.6417 Remote Similarity NPC481190
0.6396 Remote Similarity NPC84111
0.6396 Remote Similarity NPC287483
0.6396 Remote Similarity NPC470865
0.6379 Remote Similarity NPC210569
0.6373 Remote Similarity NPC195297
0.632 Remote Similarity NPC481189
0.6289 Remote Similarity NPC177834
0.6286 Remote Similarity NPC475643
0.6275 Remote Similarity NPC485595
0.6262 Remote Similarity NPC151134
0.6228 Remote Similarity NPC470867
0.6228 Remote Similarity NPC262050
0.6224 Remote Similarity NPC294686
0.6216 Remote Similarity NPC108072
0.621 Remote Similarity NPC329807
0.6182 Remote Similarity NPC309278
0.6168 Remote Similarity NPC471464
0.6154 Remote Similarity NPC477808
0.6142 Remote Similarity NPC329727
0.6098 Remote Similarity NPC330026
0.6068 Remote Similarity NPC473505
0.604 Remote Similarity NPC121453
0.602 Remote Similarity NPC181845
0.6019 Remote Similarity NPC6806
0.5965 Remote Similarity NPC92297
0.5963 Remote Similarity NPC480555
0.5963 Remote Similarity NPC150372
0.595 Remote Similarity NPC305771
0.595 Remote Similarity NPC94072
0.595 Remote Similarity NPC169816
0.5941 Remote Similarity NPC222731
0.5876 Remote Similarity NPC24960
0.582 Remote Similarity NPC263359
0.5769 Remote Similarity NPC264101
0.5714 Remote Similarity NPC51520
0.5714 Remote Similarity NPC303069
0.5702 Remote Similarity NPC15918
0.569 Remote Similarity NPC480553
0.5688 Remote Similarity NPC470433
0.5688 Remote Similarity NPC46190
0.5688 Remote Similarity NPC171073
0.5664 Remote Similarity NPC269297
0.5664 Remote Similarity NPC222202
0.5664 Remote Similarity NPC475550
0.562 Remote Similarity NPC273002
0.5615 Remote Similarity NPC329820
0.5614 Remote Similarity NPC470861
0.5567 Remote Similarity NPC277715
0.5565 Remote Similarity NPC244431
0.5556 Remote Similarity NPC113044
0.5556 Remote Similarity NPC283829
0.5556 Remote Similarity NPC14704
0.5556 Remote Similarity NPC161676
0.5517 Remote Similarity NPC480554
0.5481 Remote Similarity NPC474399
0.5455 Remote Similarity NPC202898
0.5447 Remote Similarity NPC79900
0.5385 Remote Similarity NPC92710
0.5377 Remote Similarity NPC54619
0.5345 Remote Similarity NPC475333
0.5345 Remote Similarity NPC32361
0.5345 Remote Similarity NPC224098
0.5345 Remote Similarity NPC208383
0.53 Remote Similarity NPC473774
0.53 Remote Similarity NPC481419
0.53 Remote Similarity NPC481417
0.5299 Remote Similarity NPC194207
0.5299 Remote Similarity NPC22779
0.5278 Remote Similarity NPC215408
0.5221 Remote Similarity NPC248746
0.5203 Remote Similarity NPC480556
0.5182 Remote Similarity NPC141433
0.5175 Remote Similarity NPC249553
0.5161 Remote Similarity NPC224314
0.5143 Remote Similarity NPC291203
0.5143 Remote Similarity NPC217205
0.5082 Remote Similarity NPC167183
0.5082 Remote Similarity NPC232054
0.5043 Remote Similarity NPC274200

Similar Clinical/Approved Drugs

Similarity level is defined by Tanimoto coefficient (Tc) between two molecules.

●  The left chart: Distribution of similarity level between NPC66056 and all drugs/candidates.
●  The right table: Most similar clinical/approved drugs (Tc>=0.5 or Top200).

Similarity Score Similarity Level Drug ID Developmental Stage
0.881 High Similarity NPD8171 Phase 2
0.7474 Intermediate Similarity NPD8170 Phase 2

Bioactivity similarity

  Bioactivity similarity

Similar Natural Products in NPASS

Similarity level is defined by Bioactivity similarity was calculated based on bioactivity descriptors of compounds. The bioactivity descriptors were calculated by a recently developed AI algorithm Chemical Checker (CC) [Nature Biotechnology, 38:1087–1096, 2020; Nature Communications, 12:3932, 2021], which evaluated bioactivity similarities at five levels:
A: chemistry similarity;
B: biological targets similarity;
C: networks similarity;
D: cell-based bioactivity similarity;
E: similarity based on clinical data.
Those 5 categories of CC bioactivity descriptors were calculated and then subjected to manifold projection using UMAP algorithm, to project all NPs on a 2-Dimensional space. The current NP was highlighted with a small circle in the 2-D map. Below figures: left-to-right, A-to-E.

A: chemistry similarity
B: biological targets similarity
C: networks similarity
D: cell-based bioactivity similarity
E: similarity based on clinical data